Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Mountain View, CA, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in C++ programming languages.
- 1 year of experience with Machine Learning.
Preferred qualifications:
- Master's degree or PhD in a quantitative field like engineering, computer science, mathematics, statistics or economics or in business science.
- Experience developing and scaling Search, Infrastructure, or Datamart products/technologies.
- Experience in architecting and developing software or infrastructure for scalable, high performance, distributed systems.
About the job
The Astro Serving team builds and optimizes the foundation for Google’s information retrieval. Our systems power Google Search and more than 100 critical products (e.g., YouTube Search, Shopping, Lens, etc.), handling millions of queries per second (QPS) over trillions of documents on a global fleet of servers. We provide the efficient, vector-based embedding and token-based retrieval and Generative Artificial Intelligence (GenAI) grounding solutions used by Search and Cloud.
Our team fosters a supportive environment where we handle tests together. We own initiatives that are absolutely critical to Google's success, forming the high-scale serving foundation for products across the entire company. And now, directly enabling the next era of AI innovation through our partnership with Google DeepMind. This is a place to learn from experts, build systems, and see your work impact billions of users daily.
In this role, you will be a technically curious software engineer to join us in handling a set of exciting, collaborative projects with Google DeepMind. You will build foundational infrastructure to enable Google's most ambitious AI initiatives.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about
benefits at Google.
Responsibilities
- Prototype highly scalable, low latency, cost efficient infrastructure.
- Translate research ideas in the area of AI into implementations.
- Active participation in ideation phase with research and infrastructure engineers.
- Develop the infrastructure for next-gen AI products, building necessary components to deliver solutions.
- Collaborate across organizations with Google DeepMind, Astro and with other partner teams.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also
Google's EEO Policy and
EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our
Accommodations for Applicants form.